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Paper Citation Record · LEDGER

PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.04525.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2007.04525 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:03:51.790439Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T12:16:18.182151Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 457e0b37-b11f-491f-832e-07aa266065b8 · inbound

Learning Causality for Modern Machine Learning cites this paper.

Learning Causality for Modern Machine Learning PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-07T01:03:51.790439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:03:51.790439Z digest=sha256:11ea68c5b7d4278ee5a338f3b58ca134d9f625da6a71522e6272abbd313fd166

Observation c856750b-14b7-4a79-9be7-d69e80fc75fd · inbound

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation cites this paper.

XAI for Point Cloud Data using Perturbations based on Meaningful Segmentation PointMask: Towards Interpretable and Bias-Resilient Point Cloud Processing

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:10:33.105115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:10:32.982233Z digest=sha256:8b5a64607f504dc7a3161d0461cd0a8e6ab63fb02e9dce10400afaf900d07155